Literature DB >> 10910896

patients with the description of a new scoring system and its validation on 253 other patients.

P Morel1, M Monconduit, D Jacomy, P Lenain, B Grosbois, C Bateli, T Facon, I Dervite, F Bauters, A Najman, A de Gramont, E Wattel.   

Abstract

Using Cox models, we established a new prognostic system based on simple clinical parameters in a training series of 232 patients whose diagnoses were made before 1989. Adverse prognostic factors for survival (P <.01) were age 65 years or older, male gender, albumin level lower than 40 g/L, hemoglobin level lower than 12 g/dL, platelet count less than 150 x 10(9)/L, white blood cell count less than 4 x 10(9)/L, high number of cytopenias, and hepatomegaly. Taking age (age 65 years or older, 1 point; younger than 65 years, 0 points), albumin (less than 40 g/L, 1 point; 40 g/L or more, 0 points), and total number of cytopenias (no cytopenia, 0 points; 1 cytopenia, 1 point; 2 or 3 cytopenias, 2 points) into account, we separated the 232 patients into 3 groups with low (score 0 or 1), intermediate (score 2), or high (score 3 or 4) risk, associated with 5-year survival rates at 87%, 62%, and 25%, respectively (P <.0001). Only the presence of 2 or 3 cytopenias was an independent prognostic factor among patients younger than 65 years (P <.0001). Albumin level lower than 40 g/L and the presence of 1 or more cytopenia defined a prognostic system for patients 65 years and older. Patients at low risk, intermediate risk, and high risk had 5-year survival rates at 92%, 63%, and 27%, respectively (P <.0001). The 3 prognostic systems separated the 167 patients of a test series in groups with significantly different survival rates. The overall scoring system retained a significant prognostic value in 86 additional patients treated between 1990 and 1996. We conclude that the combination of age, albumin level, and blood cell counts might help to select patients with Waldenström macroglobulinemia for treatment and to evaluate therapeutic results.

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Mesh:

Year:  2000        PMID: 10910896

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  16 in total

Review 1.  Molecular pathogenesis of Waldenstrom's macroglobulinemia.

Authors:  Esteban Braggio; Casey Philipsborn; Anne Novak; Lucy Hodge; Stephen Ansell; Rafael Fonseca
Journal:  Haematologica       Date:  2012-07-06       Impact factor: 9.941

2.  Patterns of survival in lymphoplasmacytic lymphoma/Waldenström macroglobulinemia: a population-based study of 1,555 patients diagnosed in Sweden from 1980 to 2005.

Authors:  Sigurdur Y Kristinsson; Sandra Eloranta; Paul W Dickman; Therese M-L Andersson; Ingemar Turesson; Ola Landgren; Magnus Björkholm
Journal:  Am J Hematol       Date:  2012-11-19       Impact factor: 10.047

Review 3.  Prognostic factors and indications for treatment of Waldenström's Macroglobulinemia.

Authors:  Robert A Kyle; Stephen M Ansell; Prashant Kapoor
Journal:  Best Pract Res Clin Haematol       Date:  2016-08-23       Impact factor: 3.020

4.  Evolution of Management and Outcomes in Waldenström Macroglobulinemia: A Population-Based Analysis.

Authors:  Adam J Olszewski; Steven P Treon; Jorge J Castillo
Journal:  Oncologist       Date:  2016-07-29

Review 5.  Prognostic factors in low-grade non-Hodgkin lymphomas.

Authors:  Massimo Federico; Stefano Molica; Monica Bellei; Stefano Luminari
Journal:  Curr Hematol Malig Rep       Date:  2009-10       Impact factor: 3.952

Review 6.  Genetic factors and pathogenesis of Waldenström's macroglobulinemia.

Authors:  Jorge Monge; Esteban Braggio; Stephen M Ansell
Journal:  Curr Oncol Rep       Date:  2013-10       Impact factor: 5.075

Review 7.  Diagnosis and management of Waldenström macroglobulinemia: Mayo stratification of macroglobulinemia and risk-adapted therapy (mSMART) guidelines.

Authors:  Stephen M Ansell; Robert A Kyle; Craig B Reeder; Rafael Fonseca; Joseph R Mikhael; William G Morice; P Leif Bergsagel; Francis K Buadi; Joseph P Colgan; David Dingli; Angela Dispenzieri; Philip R Greipp; Thomas M Habermann; Suzanne R Hayman; David J Inwards; Patrick B Johnston; Shaji K Kumar; Martha Q Lacy; John A Lust; Svetomir N Markovic; Ivana N M Micallef; Grzegorz S Nowakowski; Luis F Porrata; Vivek Roy; Stephen J Russell; Kristen E Detweiler Short; A Keith Stewart; Carrie A Thompson; Thomas E Witzig; Steven R Zeldenrust; Robert J Dalton; S Vincent Rajkumar; Morie A Gertz
Journal:  Mayo Clin Proc       Date:  2010-08-11       Impact factor: 7.616

8.  Retrospective analysis of prognostic factors for Waldenstrӧm macroglobulinemia: a multicenter cooperative study in Japan.

Authors:  Akio Saito; Atsushi Isoda; Masaru Kojima; Akihiko Yokohama; Yutaka Tsukune; Makoto Sasaki; Shigeki Ito; Akihiro Ohtsu; Michiaki Koike; Kayoko Murayama; Keiichi Moriya; Hideto Tamura; Morio Matsumoto; Hirotaka Nakahashi; Sakae Tanosaki; Tohru Sakura; Toshihide Kawamura; Tomomi Miyanaga; Naoya Nakamura; Hirokazu Murakami; Hiroshi Handa; Norifumi Tsukamoto
Journal:  Int J Hematol       Date:  2017-07-07       Impact factor: 2.490

9.  Long-term survival in Waldenstrom macroglobulinemia: 10-year follow-up of Southwest Oncology Group-directed intergroup trial S9003.

Authors:  Madhav V Dhodapkar; Antje Hoering; Morie A Gertz; Saul Rivkin; Jackie Szymonifka; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2008-10-17       Impact factor: 22.113

10.  Real-world data on the survival outcome of patients with newly diagnosed Waldenström macroglobulinemia.

Authors:  Jang Ho Cho; Joon-Ho Shim; Sang Eun Yoon; Hee-Jin Kim; Sun-Hee Kim; Young Hyeh Ko; Seung-Tae Lee; Kihyun Kim; Won Seog Kim; Seok Jin Kim
Journal:  Korean J Intern Med       Date:  2020-08-14       Impact factor: 2.884

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